// truesilver partners

Enhance.
Automate.
Compound.

TS-0001 / Healthcare funds / Two clients per year

We work with healthcare-focused funds and private equity firms. We turn AI and automation into measurable portfolio value. We start with the fund thesis, then forward deployed engineers (FDEs) embed inside real healthcare operations, connect the systems, and ship reviewed automations. Two client relationships per year. No AI theater. Less administrative drag. More EBITDA.

Lid layer of the truesilver hardware stack.
Compute layer of the truesilver hardware stack.
Heatsink layer of the truesilver hardware stack.
Base layer of the truesilver hardware stack.

01 / Thesis

Not AI theater. Workflow proof for fund level strategy.

01

Our FDEs talk with the team, trace how the business runs, surface unit economics, and connect the systems before choosing automations. AI and agents only belong where the work maps to workflow lift or EBITDA movement. Pricing is transparent at $750/hr, and we co-invest.

03

Patient access, provider admin, scheduling, revenue cycle, intake, referrals, and data cleanup are the first places we test for measurable lift.

04

Use AI, focused agents, and automation only where the lift is measurable and the review path is clear.

OpenAI
Anthropic
OpenRouter
Google
xAI
Meta
Mistral AI
DeepSeek
Moonshot AI
Alibaba Qwen
MiniMax
Cohere
Groq
Fireworks AI
Perplexity
NVIDIA
Hugging Face
Liquid AI
turbopuffer
DuckDB
Vercel
05

Clinical and operator judgment stays with people. Administrative drag gets automated where the owner can inspect the work.

02 / Precise Moves

3%

Small moves matter when they change behavior inside a real workflow. Keep the durable core intact, alter the route, handoff, or review step, and measure whether the company actually runs better.

Method note

A fund strategy gets sharper when the intervention is small enough to inspect and strong enough to compound.

Small moves for funds

For healthcare-focused funds, the method means choosing the few moves where AI, focused agents, technology, or automation can change a portfolio company workflow without disturbing the durable core: better intake, cleaner data, faster routing, tighter handoffs, or less administrative drag around care.

Patient access

Provider admin

Scheduling

Revenue cycle

Intake / referrals

Data cleanup

03 / Criteria

Built for healthcare-focused funds with real portfolio work to do.

ClientHealthcare-focused funds and private equity firms
CapacityTwo client relationships per year
MomentPortfolio companies with patient access, provider admin, scheduling, revenue cycle, intake, referral, or data-cleanup drag
NeedAI, focused agents, and automation tied to workflow owners, review paths, and EBITDA movement

04 / Essays

Essays

05 / Dom Phillips

Dominic Phillips

Founder and Managing Partner

Dom was CTO at TeleClinic through its acquisition. After TeleClinic, he joined CompuGroup Medical, a German healthcare-software group with over EUR 1.2B in revenue, where he built the CGM One Phone Assistant and worked on AI strategy.

He co-founded CodeSubmit with his wife Tracy. Hiring teams at Apple, Netflix, the US Air Force, Genentech, and Pfizer used it. He also co-founded Mayze, a dating app, and was CTO at Revel, a fashion app for discovering new designers in Los Angeles. Both failed, and both were useful: Mayze taught him about matching algorithms, and Revel taught him that branding shapes how customers understand a product before they try it. It made him more deliberate about naming, positioning, and the first screen a customer sees.

Dom lives a quiet, productive, distraction-free life in the desert in La Quinta, California (fastest Internet and lowest electricity cost in CA). He enjoys spending time with Tracy and their son Tom, tennis, and video games.

Boardy Boardman

Builder reference

You are a real builder, not a deck-only guy. Strong technical spine, real healthcare operator and investor context, and you keep bringing AI back to measurable workflow and EBITDA impact. I would also say you are unusually comfortable inside messy real-world systems, which is rare and useful.